Search jobs > San Francisco, CA > Senior machine learning

Senior/Staff Machine Learning Research Scientist Generative AI

Scale AI, Inc.
San Francisco, CA, United States
$176K-$300K a year
Full-time

Scale's Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale's applied-ML teams and the broader AI community.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle.

You will work closely with Scale's Generative AI product team focused on accelerating AI adoption for some of the largest companies in the world.

At Scale, our research is driven by product needs. Your focus will be on developing new foundational models, algorithms, and forms of supervision for Generative AI.

You will lead writing, publishing, and adoption of your work internally with applied teams. You will be involved end-to-end from the inception and planning of new research agendas.

You'll be creating high quality datasets, implementing models and associated training and evaluation stacks, producing high caliber publications in the form of peer-reviewed journal articles, blogs, white papers, and internal presentations & documentation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will :

  • Publish new methods that advance frontier models / LLMs via human in the loop
  • Release papers, datasets, and open source code that improve state of the art open source models
  • Evaluate, adapt, and develop new state of the art language and / or multimodal foundation models

Ideally you'd have :

  • A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.)
  • Interest in capability and alignment research
  • At least 3 to 5 years of model training and evaluation experience
  • Strong skills in NLP, LLMs and deep learning
  • Solid background in algorithms, data structures, and object-oriented programming.
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
  • Strong high-level programming skills (e.g., Python), frameworks and tools such as Pytorch lightning, kuberflow, TensorFlow, transformers, etc.
  • Strong written and verbal communication skills to operate in a cross functional team environment and to broadcast your work efficiently and with splash
  • A PhD in AI, Machine Learning, Computer Science, or related field

Nice to haves :

  • Experience in dealing with large scale AI problems, ideally in the generative-AI field.
  • Demonstrated research expertise in post-training methods & / or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You'll also receive benefits including, but not limited to : Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is :

$176,000 $300,000 USD

PLEASE NOTE : Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us :

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time.

Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.

Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.

S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and / or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.

com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision .

PLEASE NOTE : We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

7 days ago
Related jobs
Promoted
Scale AI, Inc.
San Francisco, California

Scale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through RLHF/RLAIF, data generation, model evaluation, safety, and alignment. As the Manager of the Generative AI Applied ML team, you will lead a talented team of research engineers and ML engineers f...

Promoted
Freenome
Brisbane, California

At Freenome, we are seeking a Senior Staff Scientist to help grow the Freenome Genomics Early Development team. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. You will collaborate ...

Promoted
Scale AI, Inc.
San Francisco, California

The Machine Learning recruiting team is responsible for hiring Machine Learning Research Engineers across various levels. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicle...

Genentech, Inc
South San Francisco, California

Genentech seeks a highly motivated Senior AI Scientist to join the BRAID (Biology Research | AI Development) department, DELTA team, in Genentech Research and Early Development (gRED). They will lead a research agenda focused on multimodal representation learning, generative modeling, and large lang...

Block
San Francisco, California

Drive alignment with Block’s AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domains. We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block...

Coactive AI
San Francisco, California

Research and productionize the cutting edge techniques in data-centric AI (active learning, multimodal intelligent search) and representation learning at scale using latest foundation models. Collaborate with a world-class team of engineers, researchers, and scientists to create algorithms built on ...

DoorDash
San Francisco, California

As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. We’re looking for a passionate Applied Machin...

Snorkel AI, Inc.
San Francisco, California

Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine learning application development. Machine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned t...

The Learning Experience #351
San Francisco, California

You'll maintain and foster a pragmatic approach to software development whilst also collaborating towards the establishment of detailed guidelines and standards for product development processes based on industry best practices and your experience. You'll have hands-on exposure to building, designin...

1st. Creative Learning Academy Inc.
San Rafael, California

Autodesk's Emerging Media and Entertainment Technology team is hiring Machine Learning Engineers to work on innovative projects that help our customers imagine, design, and make a better world. Reporting to our Director of Research, you will help us with implementing and improving ML models while ap...